Tree‐Ring Insights Into Past and Future Streamflow Variations in Beijing, Northern China

As the largest city in northern China and the capital of China, the rapid increases in Beijing’s water consumption in recent years have made water resources provision an increasing problem. To rationally allocate water resources, it is important to obtain long‐term runoff information in Beijing. In...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Water resources research 2025-01, Vol.61 (1), p.n/a
Hauptverfasser: Cao, Honghua, Chen, Feng, Hu, Mao, Hou, Tiyuan, Zhao, Xiaoen, Wang, Shijie, Zhang, Heli
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page n/a
container_issue 1
container_start_page
container_title Water resources research
container_volume 61
creator Cao, Honghua
Chen, Feng
Hu, Mao
Hou, Tiyuan
Zhao, Xiaoen
Wang, Shijie
Zhang, Heli
description As the largest city in northern China and the capital of China, the rapid increases in Beijing’s water consumption in recent years have made water resources provision an increasing problem. To rationally allocate water resources, it is important to obtain long‐term runoff information in Beijing. In this study we develop a 236‐year chronology of tree‐ring widths based on cores from Pinus tabuliformis from four sampling sites. The resulting regression model reconstructs December–July runoff of the Yongding River in Beijing, with 49.5% of the variance explained, back to 1786 CE. Among the last 236 years, 1868, 1956, 1991, 1998, 2018, and 2021 were extremely high runoff years; and 1900, 1906, 1999, and 2000 were extremely low runoff years. Comparison of the runoff reconstruction results with climate grid data demonstrated a large magnitude of climate change in North China during the study period. Linkage analysis between the reconstructed runoff and large‐scale water vapor indicated that the high runoff years occurred during negative phases of the Pacific Decadal Oscillation, which may be influenced by the East Asian Summer Monsoon. Projections indicate that the flow of the Yongding River will increase in the future. Supported by policies such as the Ecological Water Supply and South‐to‐North Water Diversion, regional vegetation productivity and Yongding River runoff have increased substantially since 2000. Vegetation growth interacts with runoff volume. It is unclear how long these increases will continue. Plain Language Summary As the largest city in northern China and the capital of China, Beijing has faced an increasingly water shortage problem in recent years. The Yongding River is an important river in the Beijing area and plays an important role in the local ecological system. In this study, we reconstructed the December–July runoff changes for the Yongding River using tree‐ring data from four sampling sites over the past 236 years. Under the influence of human water resource regulation, regional vegetation productivity and Yongding River runoff have increased significantly since 2000. Vegetation growth and runoff interact, and it is unknown how long these increases will last. Synoptic climatology analysis indicated that the high runoff years occurred during negative phases of the Pacific Decadal Oscillation, which may be influenced by the East Asian Summer Monsoon. Projections indicate that the flow of the Yongding River will increase in the future. Ke
doi_str_mv 10.1029/2024WR038084
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_3160332476</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3160332476</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1946-4a41a728d98966c06d8071bbae55e6d8e0617e9157e6ff19f0249e8daa50b0643</originalsourceid><addsrcrecordid>eNp9kMFKAzEQhoMoWKs3HyDgtavJJptsjlqsForKWi14WdLubJvSZmuSpfTmI_iMPomRevDkaf6Bb2b--RE6p-SSklRdpSTlk4KwnOT8AHWo4jyRSrJD1CGEs4QyJY_RifdLQijPhOygt7ED-Pr4LIyd46H1Zr4IPorQ4CftA9a2woM2tA7wc3Cg1_Wq2eJX7YwOprEeG4tvwCzjeA8_NC4swFncXxirT9FRrVcezn5rF70Mbsf9-2T0eDfsX4-SWTQoEq451TLNK5UrIWZEVDmRdDrVkGUQGyCCSlA0kyDqmqo6Pqkgr7TOyJQIzrroYr9345r3Fnwol03rbDxZMioIYymXIlK9PTVzjfcO6nLjzFq7XUlJ-ZNe-Te9iLM9vjUr2P3LlpOiX6QyU4J9A8PwcLY</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3160332476</pqid></control><display><type>article</type><title>Tree‐Ring Insights Into Past and Future Streamflow Variations in Beijing, Northern China</title><source>Wiley-Blackwell AGU Digital Library</source><source>Wiley Online Library Open Access</source><source>Wiley Online Library Journals Frontfile Complete</source><creator>Cao, Honghua ; Chen, Feng ; Hu, Mao ; Hou, Tiyuan ; Zhao, Xiaoen ; Wang, Shijie ; Zhang, Heli</creator><creatorcontrib>Cao, Honghua ; Chen, Feng ; Hu, Mao ; Hou, Tiyuan ; Zhao, Xiaoen ; Wang, Shijie ; Zhang, Heli</creatorcontrib><description>As the largest city in northern China and the capital of China, the rapid increases in Beijing’s water consumption in recent years have made water resources provision an increasing problem. To rationally allocate water resources, it is important to obtain long‐term runoff information in Beijing. In this study we develop a 236‐year chronology of tree‐ring widths based on cores from Pinus tabuliformis from four sampling sites. The resulting regression model reconstructs December–July runoff of the Yongding River in Beijing, with 49.5% of the variance explained, back to 1786 CE. Among the last 236 years, 1868, 1956, 1991, 1998, 2018, and 2021 were extremely high runoff years; and 1900, 1906, 1999, and 2000 were extremely low runoff years. Comparison of the runoff reconstruction results with climate grid data demonstrated a large magnitude of climate change in North China during the study period. Linkage analysis between the reconstructed runoff and large‐scale water vapor indicated that the high runoff years occurred during negative phases of the Pacific Decadal Oscillation, which may be influenced by the East Asian Summer Monsoon. Projections indicate that the flow of the Yongding River will increase in the future. Supported by policies such as the Ecological Water Supply and South‐to‐North Water Diversion, regional vegetation productivity and Yongding River runoff have increased substantially since 2000. Vegetation growth interacts with runoff volume. It is unclear how long these increases will continue. Plain Language Summary As the largest city in northern China and the capital of China, Beijing has faced an increasingly water shortage problem in recent years. The Yongding River is an important river in the Beijing area and plays an important role in the local ecological system. In this study, we reconstructed the December–July runoff changes for the Yongding River using tree‐ring data from four sampling sites over the past 236 years. Under the influence of human water resource regulation, regional vegetation productivity and Yongding River runoff have increased significantly since 2000. Vegetation growth and runoff interact, and it is unknown how long these increases will last. Synoptic climatology analysis indicated that the high runoff years occurred during negative phases of the Pacific Decadal Oscillation, which may be influenced by the East Asian Summer Monsoon. Projections indicate that the flow of the Yongding River will increase in the future. Key Points Reflecting runoff changes in the Beijing area over the past 200 years, including extreme high and low runoff years Possible effects of atmospheric circulation on runoff changes in recent decades, links to the Pacific Decadal Oscillation, etc NDVI changes and trends in Beijing in recent years, as well as future flow changes</description><identifier>ISSN: 0043-1397</identifier><identifier>EISSN: 1944-7973</identifier><identifier>DOI: 10.1029/2024WR038084</identifier><language>eng</language><publisher>Washington: John Wiley &amp; Sons, Inc</publisher><subject>Beijing ; Climate change ; Climatic analysis ; Climatology ; Cores ; Decades ; East Asian monsoon ; Extreme values ; Linkage analysis ; Monsoons ; NDVI ; Pacific Decadal Oscillation ; Productivity ; Regression models ; River discharge ; River flow ; River runoff ; Rivers ; Runoff ; runoff reconstruction ; Runoff volume ; Sampling ; Stream discharge ; Stream flow ; Streamflow variations ; Summer ; Summer monsoon ; Synoptic climatology ; tree rings ; Trees ; Vegetation ; Vegetation growth ; Water consumption ; Water diversion ; Water resources ; Water shortages ; Water supply ; Water vapor ; Water vapour</subject><ispartof>Water resources research, 2025-01, Vol.61 (1), p.n/a</ispartof><rights>2025. The Author(s).</rights><rights>2025. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1946-4a41a728d98966c06d8071bbae55e6d8e0617e9157e6ff19f0249e8daa50b0643</cites><orcidid>0009-0005-7231-4580 ; 0009-0007-8955-6732 ; 0000-0002-2551-8653</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2024WR038084$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2024WR038084$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,1411,11493,11541,27901,27902,45550,45551,46027,46443,46451,46867</link.rule.ids></links><search><creatorcontrib>Cao, Honghua</creatorcontrib><creatorcontrib>Chen, Feng</creatorcontrib><creatorcontrib>Hu, Mao</creatorcontrib><creatorcontrib>Hou, Tiyuan</creatorcontrib><creatorcontrib>Zhao, Xiaoen</creatorcontrib><creatorcontrib>Wang, Shijie</creatorcontrib><creatorcontrib>Zhang, Heli</creatorcontrib><title>Tree‐Ring Insights Into Past and Future Streamflow Variations in Beijing, Northern China</title><title>Water resources research</title><description>As the largest city in northern China and the capital of China, the rapid increases in Beijing’s water consumption in recent years have made water resources provision an increasing problem. To rationally allocate water resources, it is important to obtain long‐term runoff information in Beijing. In this study we develop a 236‐year chronology of tree‐ring widths based on cores from Pinus tabuliformis from four sampling sites. The resulting regression model reconstructs December–July runoff of the Yongding River in Beijing, with 49.5% of the variance explained, back to 1786 CE. Among the last 236 years, 1868, 1956, 1991, 1998, 2018, and 2021 were extremely high runoff years; and 1900, 1906, 1999, and 2000 were extremely low runoff years. Comparison of the runoff reconstruction results with climate grid data demonstrated a large magnitude of climate change in North China during the study period. Linkage analysis between the reconstructed runoff and large‐scale water vapor indicated that the high runoff years occurred during negative phases of the Pacific Decadal Oscillation, which may be influenced by the East Asian Summer Monsoon. Projections indicate that the flow of the Yongding River will increase in the future. Supported by policies such as the Ecological Water Supply and South‐to‐North Water Diversion, regional vegetation productivity and Yongding River runoff have increased substantially since 2000. Vegetation growth interacts with runoff volume. It is unclear how long these increases will continue. Plain Language Summary As the largest city in northern China and the capital of China, Beijing has faced an increasingly water shortage problem in recent years. The Yongding River is an important river in the Beijing area and plays an important role in the local ecological system. In this study, we reconstructed the December–July runoff changes for the Yongding River using tree‐ring data from four sampling sites over the past 236 years. Under the influence of human water resource regulation, regional vegetation productivity and Yongding River runoff have increased significantly since 2000. Vegetation growth and runoff interact, and it is unknown how long these increases will last. Synoptic climatology analysis indicated that the high runoff years occurred during negative phases of the Pacific Decadal Oscillation, which may be influenced by the East Asian Summer Monsoon. Projections indicate that the flow of the Yongding River will increase in the future. Key Points Reflecting runoff changes in the Beijing area over the past 200 years, including extreme high and low runoff years Possible effects of atmospheric circulation on runoff changes in recent decades, links to the Pacific Decadal Oscillation, etc NDVI changes and trends in Beijing in recent years, as well as future flow changes</description><subject>Beijing</subject><subject>Climate change</subject><subject>Climatic analysis</subject><subject>Climatology</subject><subject>Cores</subject><subject>Decades</subject><subject>East Asian monsoon</subject><subject>Extreme values</subject><subject>Linkage analysis</subject><subject>Monsoons</subject><subject>NDVI</subject><subject>Pacific Decadal Oscillation</subject><subject>Productivity</subject><subject>Regression models</subject><subject>River discharge</subject><subject>River flow</subject><subject>River runoff</subject><subject>Rivers</subject><subject>Runoff</subject><subject>runoff reconstruction</subject><subject>Runoff volume</subject><subject>Sampling</subject><subject>Stream discharge</subject><subject>Stream flow</subject><subject>Streamflow variations</subject><subject>Summer</subject><subject>Summer monsoon</subject><subject>Synoptic climatology</subject><subject>tree rings</subject><subject>Trees</subject><subject>Vegetation</subject><subject>Vegetation growth</subject><subject>Water consumption</subject><subject>Water diversion</subject><subject>Water resources</subject><subject>Water shortages</subject><subject>Water supply</subject><subject>Water vapor</subject><subject>Water vapour</subject><issn>0043-1397</issn><issn>1944-7973</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2025</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><recordid>eNp9kMFKAzEQhoMoWKs3HyDgtavJJptsjlqsForKWi14WdLubJvSZmuSpfTmI_iMPomRevDkaf6Bb2b--RE6p-SSklRdpSTlk4KwnOT8AHWo4jyRSrJD1CGEs4QyJY_RifdLQijPhOygt7ED-Pr4LIyd46H1Zr4IPorQ4CftA9a2woM2tA7wc3Cg1_Wq2eJX7YwOprEeG4tvwCzjeA8_NC4swFncXxirT9FRrVcezn5rF70Mbsf9-2T0eDfsX4-SWTQoEq451TLNK5UrIWZEVDmRdDrVkGUQGyCCSlA0kyDqmqo6Pqkgr7TOyJQIzrroYr9345r3Fnwol03rbDxZMioIYymXIlK9PTVzjfcO6nLjzFq7XUlJ-ZNe-Te9iLM9vjUr2P3LlpOiX6QyU4J9A8PwcLY</recordid><startdate>202501</startdate><enddate>202501</enddate><creator>Cao, Honghua</creator><creator>Chen, Feng</creator><creator>Hu, Mao</creator><creator>Hou, Tiyuan</creator><creator>Zhao, Xiaoen</creator><creator>Wang, Shijie</creator><creator>Zhang, Heli</creator><general>John Wiley &amp; Sons, Inc</general><scope>24P</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7QL</scope><scope>7T7</scope><scope>7TG</scope><scope>7U9</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H94</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>M7N</scope><scope>P64</scope><orcidid>https://orcid.org/0009-0005-7231-4580</orcidid><orcidid>https://orcid.org/0009-0007-8955-6732</orcidid><orcidid>https://orcid.org/0000-0002-2551-8653</orcidid></search><sort><creationdate>202501</creationdate><title>Tree‐Ring Insights Into Past and Future Streamflow Variations in Beijing, Northern China</title><author>Cao, Honghua ; Chen, Feng ; Hu, Mao ; Hou, Tiyuan ; Zhao, Xiaoen ; Wang, Shijie ; Zhang, Heli</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1946-4a41a728d98966c06d8071bbae55e6d8e0617e9157e6ff19f0249e8daa50b0643</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2025</creationdate><topic>Beijing</topic><topic>Climate change</topic><topic>Climatic analysis</topic><topic>Climatology</topic><topic>Cores</topic><topic>Decades</topic><topic>East Asian monsoon</topic><topic>Extreme values</topic><topic>Linkage analysis</topic><topic>Monsoons</topic><topic>NDVI</topic><topic>Pacific Decadal Oscillation</topic><topic>Productivity</topic><topic>Regression models</topic><topic>River discharge</topic><topic>River flow</topic><topic>River runoff</topic><topic>Rivers</topic><topic>Runoff</topic><topic>runoff reconstruction</topic><topic>Runoff volume</topic><topic>Sampling</topic><topic>Stream discharge</topic><topic>Stream flow</topic><topic>Streamflow variations</topic><topic>Summer</topic><topic>Summer monsoon</topic><topic>Synoptic climatology</topic><topic>tree rings</topic><topic>Trees</topic><topic>Vegetation</topic><topic>Vegetation growth</topic><topic>Water consumption</topic><topic>Water diversion</topic><topic>Water resources</topic><topic>Water shortages</topic><topic>Water supply</topic><topic>Water vapor</topic><topic>Water vapour</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cao, Honghua</creatorcontrib><creatorcontrib>Chen, Feng</creatorcontrib><creatorcontrib>Hu, Mao</creatorcontrib><creatorcontrib>Hou, Tiyuan</creatorcontrib><creatorcontrib>Zhao, Xiaoen</creatorcontrib><creatorcontrib>Wang, Shijie</creatorcontrib><creatorcontrib>Zhang, Heli</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Water resources research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cao, Honghua</au><au>Chen, Feng</au><au>Hu, Mao</au><au>Hou, Tiyuan</au><au>Zhao, Xiaoen</au><au>Wang, Shijie</au><au>Zhang, Heli</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Tree‐Ring Insights Into Past and Future Streamflow Variations in Beijing, Northern China</atitle><jtitle>Water resources research</jtitle><date>2025-01</date><risdate>2025</risdate><volume>61</volume><issue>1</issue><epage>n/a</epage><issn>0043-1397</issn><eissn>1944-7973</eissn><abstract>As the largest city in northern China and the capital of China, the rapid increases in Beijing’s water consumption in recent years have made water resources provision an increasing problem. To rationally allocate water resources, it is important to obtain long‐term runoff information in Beijing. In this study we develop a 236‐year chronology of tree‐ring widths based on cores from Pinus tabuliformis from four sampling sites. The resulting regression model reconstructs December–July runoff of the Yongding River in Beijing, with 49.5% of the variance explained, back to 1786 CE. Among the last 236 years, 1868, 1956, 1991, 1998, 2018, and 2021 were extremely high runoff years; and 1900, 1906, 1999, and 2000 were extremely low runoff years. Comparison of the runoff reconstruction results with climate grid data demonstrated a large magnitude of climate change in North China during the study period. Linkage analysis between the reconstructed runoff and large‐scale water vapor indicated that the high runoff years occurred during negative phases of the Pacific Decadal Oscillation, which may be influenced by the East Asian Summer Monsoon. Projections indicate that the flow of the Yongding River will increase in the future. Supported by policies such as the Ecological Water Supply and South‐to‐North Water Diversion, regional vegetation productivity and Yongding River runoff have increased substantially since 2000. Vegetation growth interacts with runoff volume. It is unclear how long these increases will continue. Plain Language Summary As the largest city in northern China and the capital of China, Beijing has faced an increasingly water shortage problem in recent years. The Yongding River is an important river in the Beijing area and plays an important role in the local ecological system. In this study, we reconstructed the December–July runoff changes for the Yongding River using tree‐ring data from four sampling sites over the past 236 years. Under the influence of human water resource regulation, regional vegetation productivity and Yongding River runoff have increased significantly since 2000. Vegetation growth and runoff interact, and it is unknown how long these increases will last. Synoptic climatology analysis indicated that the high runoff years occurred during negative phases of the Pacific Decadal Oscillation, which may be influenced by the East Asian Summer Monsoon. Projections indicate that the flow of the Yongding River will increase in the future. Key Points Reflecting runoff changes in the Beijing area over the past 200 years, including extreme high and low runoff years Possible effects of atmospheric circulation on runoff changes in recent decades, links to the Pacific Decadal Oscillation, etc NDVI changes and trends in Beijing in recent years, as well as future flow changes</abstract><cop>Washington</cop><pub>John Wiley &amp; Sons, Inc</pub><doi>10.1029/2024WR038084</doi><tpages>15</tpages><orcidid>https://orcid.org/0009-0005-7231-4580</orcidid><orcidid>https://orcid.org/0009-0007-8955-6732</orcidid><orcidid>https://orcid.org/0000-0002-2551-8653</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0043-1397
ispartof Water resources research, 2025-01, Vol.61 (1), p.n/a
issn 0043-1397
1944-7973
language eng
recordid cdi_proquest_journals_3160332476
source Wiley-Blackwell AGU Digital Library; Wiley Online Library Open Access; Wiley Online Library Journals Frontfile Complete
subjects Beijing
Climate change
Climatic analysis
Climatology
Cores
Decades
East Asian monsoon
Extreme values
Linkage analysis
Monsoons
NDVI
Pacific Decadal Oscillation
Productivity
Regression models
River discharge
River flow
River runoff
Rivers
Runoff
runoff reconstruction
Runoff volume
Sampling
Stream discharge
Stream flow
Streamflow variations
Summer
Summer monsoon
Synoptic climatology
tree rings
Trees
Vegetation
Vegetation growth
Water consumption
Water diversion
Water resources
Water shortages
Water supply
Water vapor
Water vapour
title Tree‐Ring Insights Into Past and Future Streamflow Variations in Beijing, Northern China
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-02T13%3A41%3A23IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Tree%E2%80%90Ring%20Insights%20Into%20Past%20and%20Future%20Streamflow%20Variations%20in%20Beijing,%20Northern%20China&rft.jtitle=Water%20resources%20research&rft.au=Cao,%20Honghua&rft.date=2025-01&rft.volume=61&rft.issue=1&rft.epage=n/a&rft.issn=0043-1397&rft.eissn=1944-7973&rft_id=info:doi/10.1029/2024WR038084&rft_dat=%3Cproquest_cross%3E3160332476%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3160332476&rft_id=info:pmid/&rfr_iscdi=true